Academic Articles & Research Papers

An Overview of Artificial Intelligence Applications for Power Electronics

This is a preprint version of the manuscript submitted to IEEE on June 4, 2020. This paper gives an overview of the Artificial Intelligence (AI) applications for power electronic systems. The three distinctive life-cycle phases, design, con...

Ultrasound-Based Radiomics and Deep Learning for Prediction of Lateral and Central Lymph Node Metastasis and BRAF Gene Mutation in Papillary Thyroid Carcinoma.

Harnessing Machine Learning for Procedural Content Generation in Gaming: A Comprehensive Review

Procedural Content Generation (PCG) through automated and algorithmic content generation is an active research field in the gaming industry. Recently, Machine Learning (ML) approaches have played a pivotal role in advancing this area. While...

Happiness Index Determination by Analyzing Satellite Images for Urbanization

Waterbody identification from satellite images in an automated manner is one of the difficult tasks in the domain of Remote Sensing (RS). In recent years, several image processing approaches have been developed to process RGB or multispectr...

Artificial intelligence in radiotherapy

Artificial intelligence (AI) has already been implemented widely in the medical field in the recent years. This paper first reviews the background of AI and radiotherapy. Then it explores the basic concepts of different AI algorithms and ma...

Artificial Intelligence: A Very Short Introduction

The applications of Artificial Intelligence lie all around us and affect all aspects of our lives. The results of Artificial Intelligence have been invaluable to biologists, psychologists, and linguists in helping to understand the processe...

Privacy and Artificial Intelligence

Artificial intelligence is a rapidly developing field of research with many practical applications. Congruent to advances in technologies that enable big data, deep learning, and neural networks to train, learn, and predict, artificial inte...

Machine learning models using longitudinal laboratory data predict survival in allogeneic stem cell recipients.

Normalized risk-based evaluation of machine learning-based classification models: A multiclass approach with applications in medical devices.

A Generative Super‐Resolution Model for Enhancing Tropical Cyclone Wind Field Intensity and Resolution

Abstract Extreme winds associated with tropical cyclones (TCs) can cause significant loss of life and economic damage globally, highlighting the need for accurate, high‐resolution modeling and forecasting for wind. However, due to their coa...

Development and Validation of Student Enablers and Barriers in Online Learning Scale: A Confirmatory Factor Analysis Approach

The evolution of technology has reshaped the educational landscape, with online learning emerging as a prominent and accessible alternative. Online learning offers broader access to education, allowing individuals to pursue learning opportu...

Assessing carbon and economic loss from oak decline in Iran’s Zagros forests using Sentinel-2 and machine learning

Over recent decades, the decline of oak trees, which has emerged as the most significant challenge to the Zagros forests (ZFs), poses serious threats to carbon storage (CS) and economic valuation, jeopardizing the ecological and economic su...

Binaural Beat Stimulation Enhances Cognitive Function in Alzheimer’s Disease via Temporal Lobe Activation: An sLORETA Study

Background: The global prevalence of Alzheimer’s disease (AD) has reached 55.2 million. AD is characterized by progressive deterioration in cognition and working memory (WM), which are essential for attention, reasoning, and learning. These...

Mapping artificial intelligence research in higher education toward sustainable development

Abstract The rapid development of Artificial Intelligence (AI) has had a profound impact on higher education (HE), fundamentally changing teaching, learning, research and academic management. Although there have been many studies on the app...

Artificial intelligence tools in dermatology education: A scoping review on their application, efficacy, and limitations

Introduction: Artificial Intelligence (AI) is increasingly explored for medical education, and dermatology, with its visual diagnostic focus, holds promise for AI-enhanced learning. However, evidence on its educational effectiveness remains...

The effect of enjoyment on the achievement of learning goals in college students’ online classes: a moderated mediation model

Abstract In the digital education era, artificial intelligence has developed rapidly in education in China, and hybrid teaching models have become popular. This study aims to explore whether college students’ enjoyment in online classes inf...

Innovation and Design in the Age of Artificial Intelligence

At the heart of any innovation process lies a fundamental practice: the way people create ideas and solve problems. This “decision making” side of innovation is what scholars and practitioners refer to as “design.” Decisions in innovation p...

Artificial intelligence and machine learning

Abstract Within the last decade, the application of “artificial intelligence” and “machine learning” has become popular across multiple disciplines, especially in information systems. The two terms are still used inconsistently in academia ...

The promise of artificial intelligence: a review of the opportunities and challenges of artificial intelligence in healthcare

INTRODUCTION: Artificial intelligence (AI) and machine learning (ML) are rapidly evolving fields in various sectors, including healthcare. This article reviews AI's present applications in healthcare, including its benefits, limitations and...

Application of artificial intelligence in gastroenterology

Artificial intelligence (AI) using deep-learning (DL) has emerged as a breakthrough computer technology. By the era of big data, the accumulation of an enormous number of digital images and medical records drove the need for the utilization...